Last month's headline news was the release of Python 3.14-a milestone update that introduces significant enhancements to the language itself and its runtime. Meanwhile, hot on its heels, the core team has begun development of Python 3.15. As Python continues to evolve, we must also bid farewell to an older release. Python 3.9 has reached its end of life, reminding everyone to keep their environments up to date for safety and support.
The Microsoft 365 Developer team has announced the release of Dev Proxy v1.3.0, introducing several new features aimed at improving debugging, testing, and API monitoring. The update includes two new plugins, HAR file generation for standardized network tracing and OpenAI usage tracking for better visibility into AI-related costs, along with enhancements to permissions analysis, OpenAPI specification generation, and overall stability.
The approach is detailed in a paper authored by MIT's Eagon Meng and Daniel Jackson, titled "What You See is What it Does: A Structural Patten for Legible Software". They flag up the problem of "illegible" modern software, which lacks "direct correspondence between code and observed behavior". Modern software is often, also, "insufficiently modular" they continue, "leading to a failure of three key requirements of robust coding": incrementality, integrity, and transparency.
The suggeation for a hardcore mode, makes sense. Enthusiasts and engineers tend to be the most vocal users of the operating system, and are forced to wade through swathes of irrelevant user-interface components and 'helpful' suggestions. Plummer's request is for "a first-class system-wide setting that flips the operating characteristics of the OS from safe and chatty to deterministic and terse."
Testing MCP solves this by giving AI assistants live access to your test environment: AI sees actual page structure (DOM), console logs, and rendered output AI executes code directly in tests without editing files AI knows exactly which testing APIs are available (screen, fireEvent, waitFor, etc.) You iterate faster with real-time feedback instead of blind guessing View live page structure snapshots, console logs, and test metadata through MCP tools. No more adding temporary console.log statements or running tests repeatedly.
JFrog (NASDAQ: FROG) stunned investors with a blowout third quarter that sent shares soaring more than 24%. The DevOps platform provider not only delivered its eighth straight beat on both revenue and earnings but also showcased accelerating cloud adoption, record profitability, and a growing foothold in AI-driven software delivery. Here are three key takeaways from the results and management's commentary.
Uber has redesigned its Apache Pinot query architecture to simplify execution, support richer SQL, and improve predictability for internal analytics workloads. The previous Neutrino system, which layered Presto and Pinot, has been replaced by a lightweight proxy called Cellar and uses Pinot's Multi-Stage Engine Lite Mode. The redesign aims to reduce complexity, enforce execution limits, and provide stronger isolation for multiple tenants.
In the span of just over a year, Citizens has redesigned its open banking API, reimagined student banking, and launched a modular commercial credit card for the middle market. Each move targets a different segment - firms and their developers, students, and midsize firms - but the pattern is hard to miss: Citizens is learning to behave less like a traditional bank and more like a financial infrastructure company.
Two years after clinching 1 BTC in a national competition of Bitcoin meetups at Bitcoin 2023, the Tampa Bay Bitcoin Meetup -now formalized as the nonprofit Bitcoin Bay Foundation-has channeled the prize into a thriving local ecosystem. Valued at roughly $25,000 to $30,000 at the time, that bitcoin has appreciated to over $100,000 amid bitcoin's bull run, bootstrapping workshops, conferences, and community events that onboard businesses to the Bitcoin standard.
Famed mathematician, cryptographer and coder Daniel J. Bernstein has tried out the new type-safe C/C++ compiler, and he's given it a favorable report. The modestly titled Notes by djb on using Fil-C doesn't sound like much, and indeed, the introduction is similarly modest: I'm impressed with the level of compatibility of the new memory-safe C/C++ compiler Fil-C (filcc, fil++). Many libraries and applications that I've tried work under Fil-C without changes, and the exceptions haven't been hard to get working.
Check the boxes next to up to 16 apps you want, click the Install Selected button, and your browser downloads a single executable that installs them all. This capability is only available in the web version of the store, and not the app that lives on your Windows 11 taskbar.
"The shift from ECC to S/4HANA is not a simple 'lift-and-shift'. It requires companies to fundamentally rethink how core SAP data creation and management processes are structured and administered," the report states - a significant challenge given SAP runs some of the world's largest, most complex organizations.
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Devops practices that actually move the needle aren't the flashy ones everyone talks about. It's the unglamorous work, such as standardizing CI/CD pipelines across teams, implementing consistent observability standards, and treating environment alignment as data architecture.
Google with its just-introduced Jules Extension for Gemini CLI seeks to boost creative coding workflows for developers by partnering the CLI with the Jules asynchronous coding agent. Introduced October 29, the Jules extension for Gemini CLI allows developers to delegate tasks to Jules from the Gemini CLI. Jules works independently in the background to perform coding tasks like bug fixing, refactoring, and dependency updates, Google said.
So far I have: a first draft of the introduction chapter written an outline of the chapters I want to write and for some chapters, some subtopics I want to cover a book landing page a process for building the book a deployment system a way to notify readers of book updates a quick canva-built cover And now I'm ready to hop back to writing. I'm confident all the gears are in place.
The AI web browser Dia is drawing inspiration from its predecessor, Arc, an earlier experiment in modernizing the web browsing experience that hailed from the startup known as The Browser Company. On Sunday, The Browser Company founder Josh Miller confirmed that the new AI browser will bring "Arc's greatest hits" to Dia, including things like the sidebar mode, and combine that with AI-native features like memory and agents.
The Swift Android workgroup has announced nightly preview releases of the Swift SDK for Android, a tool kit for developing Android mobile applications with Apple's Swift language. Instructions for getting started with the SDK, which was announced October 24, can be found at swift.org. The Swift SDK for Android opens avenues for cross-development and acceleration of innovation across the mobile ecosystem, Android workgroup member Joannis Orlandos wrote in announcing the release.
Scientists uncovered the remarkable decision-making ability of this single-celled organism by placing food sources in positions corresponding to cities around Tokyo and observing how the slime mold responded. The slime molds spread out, detecting locally for nutrients and repellents, making local decisions about which direction to go in search of food. Over time, a network of nutrient-carrying tubes emerged that looked remarkably similar to the Tokyo subway system in some places, but was more efficient.
This is true even when new features are generated with the assistance of AI. What better way to ensure your AI coding assistant provides suggestions that are efficient and consistent with the rest of your codebase than by having it use the same curated building blocks? Using this approach, an AI coding assistant can suggest new components that are composed of existing components, ensuring consistency and maintainability across your codebase.
Among the releases was the beta version of AI SDK 6, which adds an agent abstraction layer for defining and reusing AI agents in projects. This layer allows developers to specify agent behaviors once and apply them across different parts of an application. The SDK also incorporates tool execution approval, integrating human-in-the-loop processes to review and confirm AI actions before they proceed. Type safety extends across supported AI models and user interfaces, ensuring data consistency and reducing runtime errors through compile-time checks.
The first release candidate of Spring Boot 4.0.0 delivers bug fixes, documentation improvements, dependency upgrades and new features such as: support for the new Spring Framework interface; and completion of modularizing the codebase to " reduce the size of a typical Spring Boot application and provide stronger auto-configuration signals." More details on this release may be found in the release notes and this wiki page.
If you've used an AI coding assistant before, you've probably experienced vibe coding. You start with an idea, throw a high-level prompt at the AI, and wait to see what comes out. Sometimes it's close. Sometimes it's completely off. Either way, it often takes several rounds of tweaking to get what you actually want. That endless loop of prompting, generating, and fixing can get frustrating fast.
"Certifications are shifting from a checkbox to a compass. They're less about proving you memorized syntax and more about proving you can architect systems, instruct AI coding assistants, and solve problems end-to-end," says Faizel Khan, lead AI engineer at Landing Point, an executive search and recruiting firm. "In the AI era, fewer students will get trained on the job, which means they have to train themselves," Khan says. "Certifications-especially architectural ones like AWS, Kubernetes, Terraform-are still the clearest path to do that."
